Evidence map›Paper›PMID 29666818›Full record

ReviewAnnals of translational medicine2018

The role of positron emission tomography in the diagnosis, staging and response assessment of non-small cell lung cancer.

Sara Volpi, Jason M Ali, Angela Tasker, Adam Peryt, Giuseppe Aresu, Aman S Coonar

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Effect of blood glucose level on standardized uptake value (SUV) inEuropean journal of nuclear medicine and molecular imaging · 2019
    Pooled it
  3. Article
  4. Review
  5. Review
  6. Treatment of non-small cell lung cancer: advances following the introduction of PET-CT and IMRT/VMAT.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025
    Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. QuantitativeArthritis research & therapy · 2024
    Article
  14. Article
  15. Article
  16. Immuno-PET Imaging of EGFR withMolecular pharmaceutics · 2024
    Article
  17. Article
  18. Article
  19. A prospective study to compare the diagnostic accuracy ofJournal of cancer research and clinical oncology · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sara VolpiDepartment of Thoracic Surgery, Papworth Hospital, Cambridge, UK.
Jason M AliDepartment of Thoracic Surgery, Papworth Hospital, Cambridge, UK.
Angela TaskerDepartment of Radiology, Papworth Hospital, Cambridge, UK.
Adam PerytDepartment of Thoracic Surgery, Papworth Hospital, Cambridge, UK.
Giuseppe AresuDepartment of Thoracic Surgery, Papworth Hospital, Cambridge, UK.
Aman S CoonarDepartment of Thoracic Surgery, Papworth Hospital, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a common disease and the leading cause of cancer-related mortality, with non-small cell lung cancer (NSCLC) accounting for the majority of cases. Following diagnosis of lung cancer, accurate staging is essential to guide clinical management and inform prognosis. Positron emission tomography (PET) in conjunction with computed tomography (CT)-as PET-CT has developed as an important tool in the multi-disciplinary management of lung cancer. This article will review the current evidence for the role of

Indexed as

diagnosisfollow upnon-small cell lung cancer (NSCLC)Positron emission tomography (PET)response assessmentstaging

Identifiers

PMID29666818
PMCPMC5890043

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.